Back to Use Cases

Informing Investment Decision Making with Web Scraped Data

How web scraped alternative data for finance is fueling today’s most competitive and innovative practices and powering alternative finance’s overhaul of the investment research landscape.

Product Data

Scraping product data from complex online marketplaces is a difficult task, but one providing huge insights into a number of factors critical for evaluating company fundamentals and stock performance.

This data unlocks lucrative opportunities for investors when determining market orders and positions, while also providing insights into long term trends.

SEC Filing Data

Taking a dive into the lengthy and oft nebulous pages of a company’s SEC filings can lead to amazing investment insights. It arms investors with high-quality, reliable information — data already held to strict standards by the US government.

Now, by scraping SEC filing information, the discovery process familiar to investors can be replicated tens of thousands of times across an unlimited amount of filings, unearthing precious alpha in otherwise unseen places.

Product Reviews

To accurately predict how a stock is going to perform for any given company, it helps to understand how key products are tracking in the marketplace.

Unfortunately, the delay between company performance and quarterly earnings can dampen the usefulness of these reports for real-time analysis. Scraping product reviews can allow investors to proactively gather information on a product life cycle and make more up to date assumptions about company earnings.

Company News

More than just the company’s communications themselves, one can scrape the web for the frequency of company mentions across social media platforms and business content providers, generating extremely useful data on a company’s trajectory.

Sophisticated algo traders can integrate this type of data into their processes to ensure major news events are taken into consideration when performing trades, and that’s only a taste of what’s possible when this type of data is incorporated into the machinery of investment.

Sentiment Analysis

Bloomberg recently declared that access to the Twitter stream offers one of the largest and most nutritious alternative data sets for alpha-seeking investors, and new developments in behavioural economic research suggests that “collective mood states derived from large-scale Twitter feeds” could predict Dow Jones movements with an astonishing 87.6% accuracy.

By extracting sentiment data from the web, investors can make timely, accurate decisions within the ever-hastening market.

Data Use Cases: Using Web Data to Generate Alpha?

Get an inside look at how web scraped alternative data for finance is used to inform investment decision-making

Need data you can rely on?

Tell us about your project or start using our scraping tools today.

© 2010 - 2020 Scrapinghub

arrow-left linkedin facebook pinterest youtube rss twitter instagram facebook-blank rss-blank linkedin-blank pinterest youtube twitter instagram